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Digital risk monitoring at thermal power plants: predictive analytics in the context of import substitution
EDN: UINUTT
Abstract
The article addresses current issues of digital risk monitoring at thermal power plants. It examines aspects of applying business intelligence tools for managing production risks in the context of import substitution, with a focus on aggregating data from automated control systems for technological and business processes.
About the Author
Oleg V. Adarchev
Academy of Military Sciences of the Russian Federation
Russian Federation
Russian Federation
Universitetskiy pr., 14, Moscow, 119330
References
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Review
For citations:
Adarchev O.V. Digital risk monitoring at thermal power plants: predictive analytics in the context of import substitution. Issues of Risk Analysis. 2025;22(4):68–73. (In Russ.) EDN: UINUTT
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